TY - CHAP
T1 - Challenges in Web Bot Detection and Detection Evasion Technologies
AU - Yasuhara, Kazuki
AU - Kodama, Naoki
AU - Saito, Takamichi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Web bots are automated programs designed to execute tasks on the Internet. Typically, Web bots are utilized to crawl search engines, increasing hit rates during user searches and ensuring that websites function correctly. However, some Web bots have been misused for malicious activities, such as hoarding goods and launching brute force attacks. Various methods for detecting Web bots have been developed and studied to combat such misuse. Conversely, techniques to circumvent these detection methods have also been explored. In this paper, we examine Web bot detection methods and the corresponding evasion techniques, drawing on information from contemporary Web bot-related research papers and technical blogs authored by experts in the field. Specifically, we assess the effectiveness of browser fingerprinting techniques within the context of Web bot detection and discuss the inherent challenges associated with this detection.
AB - Web bots are automated programs designed to execute tasks on the Internet. Typically, Web bots are utilized to crawl search engines, increasing hit rates during user searches and ensuring that websites function correctly. However, some Web bots have been misused for malicious activities, such as hoarding goods and launching brute force attacks. Various methods for detecting Web bots have been developed and studied to combat such misuse. Conversely, techniques to circumvent these detection methods have also been explored. In this paper, we examine Web bot detection methods and the corresponding evasion techniques, drawing on information from contemporary Web bot-related research papers and technical blogs authored by experts in the field. Specifically, we assess the effectiveness of browser fingerprinting techniques within the context of Web bot detection and discuss the inherent challenges associated with this detection.
UR - http://www.scopus.com/inward/record.url?scp=85204987753&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-72325-4_16
DO - 10.1007/978-3-031-72325-4_16
M3 - Chapter
AN - SCOPUS:85204987753
T3 - Lecture Notes on Data Engineering and Communications Technologies
SP - 162
EP - 173
BT - Lecture Notes on Data Engineering and Communications Technologies
PB - Springer Science and Business Media Deutschland GmbH
ER -